Python Seaborn.desaturate() Method

Python Seaborn desaturate() is a method designed to control the saturation levels of colors in plots. In this article, we will discuss about the desaturate() method, exploring its functionality and how it can be effectively utilized in data visualization tasks.

What is desaturate() Method in Python Seaborn?

The desaturate() method in Seaborn allows users to reduce the saturation level of colors in plots. Saturation refers to the intensity or purity of a color, with fully saturated colors being vivid and rich, while desaturated colors appear more muted or grayscale. By adjusting the saturation level, we can control the vibrancy of colors in our visualizations.

Syntax of Python Seaborn.desaturate() Method

seaborn.desaturate(color, prop)

• color: The color or list of colors to be desaturated.
• prop: The desaturation proportion. A value of 1.0 indicates no desaturation (i.e., full saturation), while 0.0 represents complete desaturation (i.e., grayscale).

Parameters:

• color: This can be a single color specified as a string (e.g., ‘blue’) or a tuple representing RGB values (e.g., (0.1, 0.2, 0.5)). It can also be a list of colors.
• prop: A float value between 0.0 and 1.0 indicating the proportion of desaturation to apply. A value of 1.0 means no desaturation (i.e., full saturation), while 0.0 means complete desaturation (i.e., grayscale).

Python Seaborn desaturate() Method

Below are some of the examples of desaturate() method in Python:

Example 1: Desaturating the Color Blue

In this example, we load the Iris dataset using Seaborn, then desaturate the color blue with a saturation level of 0.5, showcasing how the desaturate() method can be used to adjust color intensity in visualizations.

Python3

import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset("iris")

# Display first few rows of the dataset
iris.head()

# Desaturate the color blue with a saturation level of 0.5
desaturated_blue = sns.desaturate("blue", 0.5)

# Plot the desaturated color
sns.palplot(desaturated_blue)
plt.show()

Output:

Example 2: Desaturating the Color Yellow

In this example, we load the Iris dataset using Seaborn, then desaturate the color yellow with a saturation level of 0.5, demonstrating how the desaturate() method can be utilized to adjust color intensity in visualizations.

Python3

import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset("iris")

# Display first few rows of the dataset
iris.head()

# Desaturate the color yellow with a saturation level of 0.5
desaturated_yellow = sns.desaturate("yellow", 0.5)

# Plot the desaturated color
sns.palplot(desaturated_yellow)
plt.show()

Output: